Taxonomic Profiling of Skin Microbiome and Correlation with Clinical Skin Parameters in Healthy Koreans

Overview

Journal Sci Rep

Specialty Science

Date 2021 Aug 12

PMID 34381083

Citations 21

Authors

Ji-Hee Kim

Sang-Mo Son

Hyunjoon Park

Byoung Kook Kim

In Suk Choi

Heebal Kim

Chul Sung Huh

Affiliations

Soon will be listed here.

Abstract

The interest in skin microbiome differences by ethnicity, age, and gender is increasing. Compared to other ethnic groups, studies on the skin microbiome of Koreans remains insufficient; we investigated facial skin microbiome characteristics according to gender and age among Koreans. Fifty-one healthy participants were recruited, the facial skin characteristics of each donor were investigated, their skin bacterial DNA was isolated and metagenomic analysis was performed. The donors were divided into two groups for age and sex each to analyze their skin microbiomes. Moreover, we investigated the correlation between the skin microbiome and clinical characteristics. The alpha diversity of the skin microbiome was significantly higher in the elderly, and beta diversity was significantly different according to age. The comparative skin microbials showed that the genus Lawsonella was more abundant in the younger age group, and Enhydrobacter was predominant in the older age group. Staphylococcus and Corynebacterium were more abundant in males, while Lactobacillus was more abundant in females. Lawsonella had a negative correlation with skin moisture and brown spots. Staphylococcus and Corynebacterium both had negative correlations with the number of UV spots and positive correlations with transepidermal water loss (TEWL). Furthermore, Staphylococcus aureus had a negative correlation with skin moisture parameters.

Citing Articles

Bidirectional Mendelian Randomization Analysis to Study the Relationship Between Human Skin Microbiota and Radiation-Induced Skin Toxicity.

Chen H, Xia X, Shi K, Xie T, Sun X, Xu Z Microorganisms. 2025; 13(1).

PMID: 39858962 PMC: 11767967. DOI: 10.3390/microorganisms13010194.

Influence of Cosmetic Skincare Products with pH < 5 on the Skin Microbiome: A Randomized Clinical Evaluation.

Janssens-Bocker C, Doberenz C, Monteiro M, de Oliveira Ferreira M Dermatol Ther (Heidelb). 2024; 15(1):141-159.

PMID: 39709312 PMC: 11785879. DOI: 10.1007/s13555-024-01321-x.

Aging-Induced Changes in and Their Effects on Skin Elasticity and Wrinkle Formation.

Jung Y, Kim I, Jung D, Ha J, Lee E, Kim J Microorganisms. 2024; 12(11).

PMID: 39597568 PMC: 11596587. DOI: 10.3390/microorganisms12112179.

Skin Microbiota, Immune Cell, and Skin Fibrosis: A Comprehensive Mendelian Randomization Study.

Zhao Z, Rong Y, Yin R, Zeng R, Xu Z, Lv D Biomedicines. 2024; 12(10).

PMID: 39457721 PMC: 11505207. DOI: 10.3390/biomedicines12102409.

Hidden Links Between Skin Microbiome and Skin Imaging Phenome.

Cheng M, Zhou H, Zhang H, Zhang X, Zhang S, Bai H Genomics Proteomics Bioinformatics. 2024; 22(4).

PMID: 39436239 PMC: 11849492. DOI: 10.1093/gpbjnl/qzae040.

References

Yoon S, Ha S, Kwon S, Lim J, Kim Y, Seo H . Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int J Syst Evol Microbiol. 2016; 67(5):1613-1617. PMC: 5563544. DOI: 10.1099/ijsem.0.001755. View

Byrd A, Belkaid Y, Segre J . The human skin microbiome. Nat Rev Microbiol. 2018; 16(3):143-155. DOI: 10.1038/nrmicro.2017.157. View

Shibagaki N, Suda W, Clavaud C, Bastien P, Takayasu L, Iioka E . Aging-related changes in the diversity of women's skin microbiomes associated with oral bacteria. Sci Rep. 2017; 7(1):10567. PMC: 5585242. DOI: 10.1038/s41598-017-10834-9. View

Takahashi S, Tomita J, Nishioka K, Hisada T, Nishijima M . Development of a prokaryotic universal primer for simultaneous analysis of Bacteria and Archaea using next-generation sequencing. PLoS One. 2014; 9(8):e105592. PMC: 4140814. DOI: 10.1371/journal.pone.0105592. View

F Escapa I, Chen T, Huang Y, Gajare P, Dewhirst F, Lemon K . New Insights into Human Nostril Microbiome from the Expanded Human Oral Microbiome Database (eHOMD): a Resource for the Microbiome of the Human Aerodigestive Tract. mSystems. 2018; 3(6). PMC: 6280432. DOI: 10.1128/mSystems.00187-18. View

Kim B, Choi J, Park K, Youn S . Sebum, acne, skin elasticity, and gender difference - which is the major influencing factor for facial pores?. Skin Res Technol. 2012; 19(1):e45-53. DOI: 10.1111/j.1600-0846.2011.00605.x. View

Kim H, Kim J, Myeong N, Kim T, Kim D, An S . Segregation of age-related skin microbiome characteristics by functionality. Sci Rep. 2019; 9(1):16748. PMC: 6856112. DOI: 10.1038/s41598-019-53266-3. View

Grice E, Segre J . The skin microbiome. Nat Rev Microbiol. 2011; 9(4):244-53. PMC: 3535073. DOI: 10.1038/nrmicro2537. View

Grice E . The intersection of microbiome and host at the skin interface: genomic- and metagenomic-based insights. Genome Res. 2015; 25(10):1514-20. PMC: 4579337. DOI: 10.1101/gr.191320.115. View

10.

Baba H, Masuyama A, Takano T . Short communication: Effects of Lactobacillus helveticus-fermented milk on the differentiation of cultured normal human epidermal keratinocytes. J Dairy Sci. 2006; 89(6):2072-5. DOI: 10.3168/jds.S0022-0302(06)72275-5. View

11.

Mukherjee S, Mitra R, Maitra A, Gupta S, Kumaran S, Chakrabortty A . Sebum and Hydration Levels in Specific Regions of Human Face Significantly Predict the Nature and Diversity of Facial Skin Microbiome. Sci Rep. 2016; 6:36062. PMC: 5081537. DOI: 10.1038/srep36062. View

12.

Ganceviciene R, Liakou A, Theodoridis A, Makrantonaki E, Zouboulis C . Skin anti-aging strategies. Dermatoendocrinol. 2013; 4(3):308-19. PMC: 3583892. DOI: 10.4161/derm.22804. View

13.

Krishna S, Miller L . Host-pathogen interactions between the skin and Staphylococcus aureus. Curr Opin Microbiol. 2011; 15(1):28-35. PMC: 3265682. DOI: 10.1016/j.mib.2011.11.003. View

14.

Swaney M, Kalan L . Living in Your Skin: Microbes, Molecules, and Mechanisms. Infect Immun. 2021; 89(4). PMC: 8090955. DOI: 10.1128/IAI.00695-20. View

15.

Luebberding S, Krueger N, Kerscher M . Quantification of age-related facial wrinkles in men and women using a three-dimensional fringe projection method and validated assessment scales. Dermatol Surg. 2013; 40(1):22-32. DOI: 10.1111/dsu.12377. View

16.

Giacomoni P, Mammone T, Teri M . Gender-linked differences in human skin. J Dermatol Sci. 2009; 55(3):144-9. DOI: 10.1016/j.jdermsci.2009.06.001. View

17.

Barel A, Clarys P . Study of the stratum corneum barrier function by transepidermal water loss measurements: comparison between two commercial instruments: Evaporimeter and Tewameter. Skin Pharmacol. 1995; 8(4):186-95. DOI: 10.1159/000211345. View

18.

Marrakchi S, Maibach H . Biophysical parameters of skin: map of human face, regional, and age-related differences. Contact Dermatitis. 2007; 57(1):28-34. DOI: 10.1111/j.1600-0536.2007.01138.x. View

19.

Firooz A, Sadr B, Babakoohi S, Sarraf-Yazdy M, Fanian F, Kazerouni-Timsar A . Variation of biophysical parameters of the skin with age, gender, and body region. ScientificWorldJournal. 2012; 2012:386936. PMC: 3317612. DOI: 10.1100/2012/386936. View

20.

Hulpusch C, Tremmel K, Hammel G, Bhattacharyya M, De Tomassi A, Nussbaumer T . Skin pH-dependent Staphylococcus aureus abundance as predictor for increasing atopic dermatitis severity. Allergy. 2020; 75(11):2888-2898. DOI: 10.1111/all.14461. View